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Posted by:
shakeel ahmad
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Your palm can be LOGIN - Biometric Mouse
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Your palm can be LOGIN - Biometric Mouse
Shakeel Ahmad, Research scholar, IIT KanpurEmail : shakeel ( @ ) cse.iitk.ac.in
Biometrics - the identification of individuals using biological traits, such as those based on retinal or iris scanning, fingerprints, or face recognition and by recognizing the pattern of blood veins.
Biometric Technology has advanced to the state where identification and authentication of people is available via a number of different routes.
This is an emerging technology that is increasingly being used for information and computer security. The development of highly precise biometric authentication technology that can verify a person s identity by recognizing the pattern of blood veins in the person s palm. The use of this technology would enable convenient biometric authentication for a wide range of applications, such as safeguarding important information through log-in verification for access to sales, technical or personal data.
The growth of electronic commerce and government services has made it more important than ever to be able to verify individual identity in official or commercial transactions. This has sparked demand for biometric authentication methods that cannot be easily replicated or forged.
Some companies has already developed authentication technologies employing fingerprint, voiceprint, facial features, and other types of biometrics, and it has been offering "multi-bio" authentication systems that combine different biometric readings. Each method has certain advantages as well as limitations.
How Biometric Mouse Works
It has incorporated into a prototype computer mouse, identifies an individual by the unique pattern of veins in the individual s palm. Palm vein patterns are advantageous for this purpose because they are unique from one person to the next and, except for the size, they do not change as the individual ages.
The authentication process works as follows: The palm is first illuminated by an infra-red light. The veins just beneath the skin of the palm then emit a black reflection, giving a picture of the veins in the palm. Using some algorithm, a pattern is then extracted from this picture and is checked against patterns stored in the system. If there is a match, the person s identity is confirmed.
Building the palm vein pattern authentication technology into a computer mouse adds security functionality without interfering with normal operations. The technology can also be built into wall-plates or mobile readers for other applications.
In addition to the usual mouse functionality, this prototype device includes a digital camera element and infra-red emitter, which are used together to read the pattern of veins in a palm that is in contact with the mouse. The light output from the infrared emitter is within appropriate safety limits.
It conveniently enables secure computer logon, file/folder access and screensaver via biometric authentication. The biometric authentication can help to eliminate the need for multiple passwords that must be written down or memorized, thus improving the overall level of security.
Other Biometric methods used in recognition
Fingerprint recognition is in effect one of the oldest biometric technologies and its application in criminal identification, using the human eye, has been in use for well over 100 years. Nowadays computer software and hardware can perform the identification significantly more accurately and rapidly. Fingerprint technology is one of the most developed of all biometric technologies and its price is low enough.
Iris recognition is one of the most accurate of all biometric technologies with very little overlap between acceptance and rejection curves. The high price of this technology still limits its application to very high security requirements.
Facial Recognition is one of the newer biometric technologies, with systems only recently showing the accuracy necessary for commercial application. Two dimensional face recognition suffers from problems where non frontal images are often not identified or misidentified by the software. Newer 3d facial recognition is showing significant improvements.
We can secure applications like
•Bank and financial systems
•Electronic transactions
•Medical information systems
•Network/enterprise IT security
•Internet content security
•E-commerce
•B2B transactions
•Personal computer/workstation security
• Any password-based application
shakeel38083.2411574074
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